Aurora Affiliations

Aurora Research Institute

Abstract

BACKGROUND: The majority of health care utilization decisions in the United States are made by persons with multiple chronic conditions. Existing public reports of health system quality do not distinguish care for these persons and are often not used by the consumers they aim to reach.

OBJECTIVE: Our goal was to determine if tailoring quality reports to persons with diabetes mellitus and co-occurring chronic conditions would increase user engagement with a website that publicly reports the quality of diabetes care.

METHODS: We adapted an existing consumer-focused public reporting website using adult learning theory to display diabetes quality reports tailored to the user's chronic condition profile. We conducted in-depth cognitive interviews with 20 individuals who either had diabetes and/or cared for someone with diabetes to assess the website. Interviews were audiotaped and transcribed, then analyzed using thematic content analysis.

RESULTS: Three themes emerged that suggested increased engagement from tailoring the site to a user's chronic conditions: ability to interact, relevance, and feeling empowered to act.

CONCLUSIONS: We conclude that tailoring can be used to improve public reporting sites for individuals with chronic conditions, ultimately allowing consumers to make more informed health care decisions.